Malicious code in pretty-exponential (npm)

The package pretty-exponential was found to contain malicious code...

MAL-2025-29636 Malicious code in pretty-exponential (npm)

The package pretty-exponential was found to contain malicious code...

Regular Expression Denial Of Service (ReDoS)

Transformers is vulnerable to Regular Expression Denial of Service ReDoS. The vulnerability is due to inefficient regular expression complexity in the SETTINGRE variable within chat.py, which allows an attacker to exploit exponential backtracking using specially crafted input...

Generalized and Unified Equivalences between Hardness and Pseudoentropy

Pseudoentropy characterizations provide a quantitatively precise demonstration of the close relationship between computational hardness and computational randomness. We prove a unified pseudoentropy characterization that generalizes and strengthens previous results for both uniform and non-unifor...

CVE-2025-3262 Regular Expression Denial of Service (ReDoS) in huggingface/transformers

A Regular Expression Denial of Service ReDoS vulnerability was discovered in the huggingface/transformers repository, specifically in version 4.49.0. The vulnerability is due to inefficient regular expression complexity in the SETTINGRE variable within the transformers/commands/chat.py file. The...

CVE-2025-3262 Regular Expression Denial of Service (ReDoS) in huggingface/transformers

A Regular Expression Denial of Service ReDoS vulnerability was discovered in the huggingface/transformers repository, specifically in version 4.49.0. The vulnerability is due to inefficient regular expression complexity in the SETTINGRE variable within the transformers/commands/chat.py file. The...

PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation Via Few-Shot Private Data and Generative APIs

The rise of generative APIs has fueled interest in privacy-preserving synthetic data generation. While the Private Evolution PE algorithm generates Differential Privacy DP synthetic images using diffusion model APIs, it struggles with few-shot private data due to the limitations of its DP-protect...

Cryptography from Lossy Reductions: Towards OWFs from ETH, and Beyond

One-way functions OWFs form the foundation of modern cryptography, yet their unconditional existence remains a major open question. In this work, we study this question by exploring its relation to lossy reductions, i.e., reductions$R$ for which it holds that $IX;RX \ll n$ for all distributions$X...

Novel Loss-Enhanced Universal Adversarial Patches for Sustainable Speaker Privacy

Deep learning voice models are commonly used nowadays, but the safety processing of personal data, such as human identity and speech content, remains suspicious. To prevent malicious user identification, speaker anonymization methods were proposed. Current methods, particularly based on universal...

CVE-2025-0617

An attacker with access to an HX 10.0.0 and previous versions, may send specially-crafted data to the HX console. The malicious detection would then trigger file parsing containing exponential entity expansions in the consumer process thus causing a Denial of Service...

CVE-2022-42964

An exponential ReDoS Regular Expression Denial of Service can be triggered in the pymatgen PyPI package, when an attacker is able to supply arbitrary input to the GaussianInput.fromstring method...

CVE-2021-38490

Altova MobileTogether Server before 7.3 SP1 allows XML exponential entity expansion, a different vulnerability than CVE-2021-37425...

Regular Expression Denial Of Service (ReDoS)

Transformers is vulnerable to Regular Expression Denial of Service ReDoS. The vulnerability is due to inefficient regular expression processing due to nested quantifiers in the preprocessstring function of transformers.testingutils, which can cause exponential backtracking and high CPU usage when...

Verifying Differentially Private Median Estimation

Differential Privacy DP is a robust privacy guarantee that is widely employed in private data analysis today, finding broad application in domains such as statistical query release and machine learning. However, DP achieves privacy by introducing noise into data or query answers, which malicious...

Private Statistical Estimation Via Truncation

We introduce a novel framework for differentially private DP statistical estimation via data truncation, addressing a key challenge in DP estimation when the data support is unbounded. Traditional approaches rely on problem-specific sensitivity analysis, limiting their applicability. By leveragin...

A Contrastive Federated Semi-Supervised Learning Intrusion Detection Framework for Internet of Robotic Things

In intelligent industry, autonomous driving and other environments, the Internet of Things IoT highly integrated with robotic to form the Internet of Robotic Things IoRT. However, network intrusion to IoRT can lead to data leakage, service interruption in IoRT and even physical damage by...

transformers 安全漏洞

transformers is a Hugging Face open source application for machine learning. A security vulnerability exists in transformers version 4.48.1, which stems from exponential complexity in regular expressions when processing specially crafted inputs, potentially leading to a denial of service...

Transformers Regular Expression Denial of Service (ReDoS) vulnerability

A Regular Expression Denial of Service ReDoS vulnerability was identified in the huggingface/transformers library, specifically in the file tokenizationnougatfast.py. The vulnerability occurs in the postprocesssingle function, where a regular expression processes specially crafted input. The issu...

CVE-2024-8789

Lunary-ai/lunary version git 105a3f6 is vulnerable to a Regular Expression Denial of Service ReDoS attack. The application allows users to upload their own regular expressions, which are then executed on the server side. Certain regular expressions can have exponential runtime complexity relative...

CVE-2024-12720 Regular Expression Denial of Service (ReDoS) in huggingface/transformers

A Regular Expression Denial of Service ReDoS vulnerability was identified in the huggingface/transformers library, specifically in the file tokenizationnougatfast.py. The vulnerability occurs in the postprocesssingle function, where a regular expression processes specially crafted input. The issu...